Keyword Assignment for Video Segment Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video editing software lacks efficient methods for users to categorize and filter video clips based on keywords, making it difficult to identify and manage good and bad segments within large repositories of video content.
Innovation Solution
A computer-implemented method and system that allows users to assign keywords to selected segments of video clips displayed as thumbnail groups, enabling filtering and editing operations such as displaying or hiding segments based on keywords using boolean logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually review and edit each video clip individually, then editing precision can be maintained, but time consumption increases significantly
Solution Approach 1:
The system automatically analyzes video clips and generates preliminary edits by detecting scenes, objects, and actions, allowing the editing system to serve itself without requiring manual review of every detail. Users only need to provide high-level guidance through keyword assignment.
Solution Approach 2:
The system performs preliminary analysis of video content automatically, generating scene segmentations, object detections, and action identifications before user intervention. This preliminary action reduces the amount of manual work needed by preparing the foundation for final editing.
2Measurement precision
If users assign keywords to all segments manually, then categorization accuracy improves, but productivity decreases
Solution Approach 1:
The system automatically analyzes video content and generates preliminary keyword associations based on detected scenes, objects, and actions. Users only need to review and confirm these automated associations rather than creating them from scratch, significantly improving productivity while maintaining accuracy.
Solution Approach 2:
The system provides feedback to users in the form of automated keyword suggestions and scene segmentations that can be reviewed and corrected. This feedback mechanism allows users to maintain high categorization accuracy while reducing the time required for manual keyword assignment.
3Manufacturing precision
If the system provides detailed editing controls, then editing precision improves, but device complexity increases
Solution Approach 1:
The editing system divides the video into discrete scenes and segments based on automatic analysis, allowing users to work with manageable portions rather than the entire video at once. This segmentation reduces the perceived complexity while maintaining precision through detailed control of individual segments.
Solution Approach 2:
The system introduces an intermediary layer of automatic scene detection and keyword association between the raw video and the final edited output. This intermediary processing reduces the direct complexity of editing by providing pre-organized content that users can work with more easily.
Data Source
AI summary
A computer-implemented method includes displaying, within a user interface in a digital media system, a media pane and a tools pane, displaying, within the media pane, a thumbnail group representing a media item, the thumbnail group including one or more thumbnails, displaying, within the tools pane, a tool configured to assign a keyword, enabling a user to select a segment of the media item, and enabling a user to assign a keyword to the selected segment by activating the tool.